Engineering Manager

Tekion; Bengaluru; On-site; INR 6,000,000 - 10,000,000; Full time

Job summary

Tekion is seeking an experienced engineering leader to direct the TAMC team in Bengaluru. You will oversee ~20 engineers across two Scrum teams, drive delivery cadence, and enforce architectural standards for scalable, AI-enabled SaaS platforms on AWS.

You will partner with ML/AI teams and product leadership across US-India time zones, build a robust hiring pipeline, and shape the next wave of AI capabilities while maintaining high levels of ownership and accountability.

Qualifications

• 12+ years of software engineering experience with 5+ years in engineering leadership, managing multiple teams.
• Deep technical background in Java backend systems and distributed microservices.
• Proven track record building and operating SaaS platforms on AWS with multi-database stacks.
• Experience with hexagonal architecture and domain isolation at scale.
• Experience partnering with ML/AI teams on production AI systems and LLM integration.
• Strong cross-functional leadership across geographies (US-India) and product/design stakeholders.
• Recruiting and developing senior engineering talent in competitive markets.
• Thrives in fast-paced, high-ambiguity environments with evolving dependencies.

Responsibilities

• Directly lead TAMC engineering team (~20 engineers) across two Scrum teams.
• Own delivery accountability: sprints, risk tracking, and executive reporting.
• Set and enforce technical standards and observability across teams.
• Serve as engineering counterpart to product and business partners across India and US time zones.
• Coordinate cross-team interfaces to platform teams to track dependencies.
• Hire, develop, and retain top engineering talent and define career ladders.
• Drive the technical roadmap for AI capabilities with ML/AI leadership.
• Maintain architectural depth and unblock engineers on distributed systems challenges.
• Foster a high-trust, high-accountability engineering culture.

Skills

Java backend

Distributed microservices

Event-driven architecture

AWS SaaS platforms

Hexagonal architecture

ML/AI collaboration

Cross-functional leadership

Talent recruitment & coaching

Architectural reviews

Team leadership 15+ engineers

Frontend/Backend exposure

Temporal orchestration

Tools

MongoDB

PostgreSQL

Kafka

Elasticsearch

Redis/Aerospike

Job description

Responsibilities:

• Directly lead the TAMC engineering team (~20 engineers): two Scrum teams, staff/senior engineers, applied ML, and a staff SDET, with the expectation of building out a management layer as the org scales.
• Own delivery accountability: sprint cadence, cross-team dependency management, risk tracking, and executive reporting on engineering progress.
• Set and enforce technical standards: hexagonal architecture discipline, AI-native integration patterns, code quality gates, and observability standards across both teams.
• Act as the primary engineering counterpart to product and business partners across India and US time zones, translate business requirements into engineering execution plans, surface trade-offs early, and maintain shared understanding of what is being built and why.
• Own the cross-team coordination interface to platform teams (Agentic Engine, Core Platform, ARC backend, Design), ensuring TAMC's dependencies are tracked, escalated, and resolved on schedule.
• Hire, develop, and retain top engineering talent: own the full hiring pipeline, define career ladders, conduct performance reviews, and make compensation decisions.
• Drive the technical roadmap for the next wave of AI capabilities in partnership with the ML architect, applied scientist, and product leadership.
• Maintain technical depth: actively participate in architecture reviews, challenge design decisions, and unblock engineers on complex distributed systems and AI integration challenges.
• Build and sustain a high-trust, high-accountability engineering culture where engineers feel ownership, psychological safety, and pride in their craft

Requirements:

• 12+ years of software engineering experience with 5+ years of engineering leadership, managing managers and leading teams of 15+ engineers
• Deep technical background in Java backend systems, distributed microservices, and event-driven architecture, able to engage credibly in architecture reviews and design decisions.
• Proven track record building and operating SaaS platforms on AWS with multi-database stacks (MongoDB, PostgreSQL, Kafka, Elasticsearch, Redis/Aerospike). Demonstrated experience with hexagonal architecture at scale, enforcing domain isolation as teams and services grow.
• Experience partnering closely with ML/AI teams on production AI systems and comfortable driving technical decisions across LLM integration, agentic pipelines, and AI-native product architectures.
• Strong cross-functional leadership: experience working closely with product management, design, and executive stakeholders across geographies (US-India distributed teams).
• Track record of recruiting and developing senior engineering talent, building teams from the ground up in competitive markets.
• Experience delivering in fast-paced, high-ambiguity environments with evolving platform dependencies and shifting priorities.

Good to Have:

• Experience leading engineering teams building AI-native products (LLM integration, agentic systems, scoring pipelines, MCP tool design).
• Background in martech, customer data platforms, or dealer/automotive technology.
• Prior experience managing both backend and frontend engineering disciplines within the same org.
• Exposure to temporal for durable workflow orchestration at the team level.